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partners to reduce CO2 emissions in steel production using machine learning. You can find more information here . You will work on a theoretical and an applied project on data-enhanced physical reduced order
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
digital policies aimed to govern these developments. Being part of the algosoc project comes with a community of support but also responsibilities, which include: Developing, conducting, and publishing
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are offering a senior postdoctoral position within the Stranding Research Programme external link , part of the Division of Pathology at the Faculty of Veterinary Medicine. Your job The Stranding Research
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opportunity to work with scientists and engineers at the forefront of space science, and experience first-hand how ESA works with communities across the Member States to maximise the scientific return from our
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their cargo. A mechanistic understanding of this puzzling selectivity has remained lacking. The aim of this proposal is to resolve the fundamentals of this IDP-mediated selective barrier function. In our
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: 12 September 2025 Apply now Join the faculty of Geosciences as a postdoctoral researcher! You will work on carbon turnover models and the fusion of data science forecasting methods with process-based
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associated ambition. For more information on this position, please contact dr.ir. Richard Loendersloot, r.loendersloot@utwente.nl. Screening is part of the selection procedure. The first job interviews are
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, and other techniques. The project will hire a postdoctoral researcher, who will work in the GOLEM lab. Your tasks: In collaboration with the other team members, you will work on the creation of a
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Location ESTEC, Noordwijk, Netherlands Our team and mission The Data Handling Section provides functional support to ESA projects and carries out technological research and development (R&D
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unwanted biases. Finally, with the aim of clinical use, you will design and create a user interface that can be easily used by end users to visualize predictions and explanations for individual patients. You